DATASET for "Carotid Ultrasound Boundary Study (CUBS): an open multi-center analysis of computerized intima-media thickness measurement systems and their clinical impact"

Published: 04-05-2021| Version 1 | DOI: 10.17632/fpv535fss7.1
Contributors:
Kristen M. Meiburger,
Guillaume Zahnd,
Francesco Faita,
Christos Loizou,
Catarina Carvalho,
David Steinman,
Lorenzo Gibello,
Rosa Maria Bruno,
Francesco Marzola,
Ricarda Clarenbach,
Martina Francesconi,
Andrew Nicolaides,
Aurelio Campilho,
Reza Ghotbi,
Efthyvoulos Kyriacou,
Nassir Navab,
Maura Griffin,
Andrie Panayiotou,
Rachele Gherardini,
Gianfranco Varetto,
Elisabetta Bianchini,
Constantinos Pattichis,
Lorenzo Ghiadoni,
José Rouco,
Filippo Molinari

Description

This open source dataset contains the entire image dataset, clinical parameters, 3 manual segmentations, and 5 computerized segmentations used in the following work: "Carotid Ultrasound Boundary Study (CUBS): an open multi-center analysis of computerized intima-media thickness measurement systems and their clinical impact" published in Ultrasound in Medicine and Biology, DOI: 10.1016/j.ultrasmedbio.2021.03.022 ABSTRACT Common carotid intima-media thickness (CIMT) is a commonly used marker for atherosclerosis and is often computed in carotid ultrasound images. An analysis of different computerized techniques for CIMT measurement and their clinical impacts on the same patient dataset is lacking. Here we compared and assessed 5 computerized CIMT algorithms against 3 expert analyst manual measurements on a dataset of 1088 patients from two centers. Inter-/intra-observer variability was assessed, and the computerized CIMT values were compared to those manually obtained. The CIMT measurements were used to assess the correlation with clinical parameters, cardiovascular events prediction through a generalized linear model, and the Kaplan-Meier hazard ratio. CIMT measurements obtained with a skilled analyst’s segmentation and the computerized segmentation were comparable in all statistical analyses, suggesting they can be used interchangeably for CIMT quantification and clinical outcome investigation. The entire dataset used is made publicly available for the community to facilitate future studies here.

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